Training complete

README.md

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+---
+license: cc-by-nc-sa-4.0
+base_model: Babelscape/wikineural-multilingual-ner
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: wikineural-finetuned-ner
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# wikineural-finetuned-ner
+
+This model is a fine-tuned version of [Babelscape/wikineural-multilingual-ner](https://huggingface.co/Babelscape/wikineural-multilingual-ner) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0198
+- Precision: 0.9855
+- Recall: 0.9833
+- F1: 0.9844
+- Accuracy: 0.9956
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| No log        | 1.0   | 100  | 0.1020          | 0.8658    | 0.9134 | 0.8890 | 0.9693   |
+| No log        | 2.0   | 200  | 0.0229          | 0.9828    | 0.9821 | 0.9824 | 0.9950   |
+| No log        | 3.0   | 300  | 0.0198          | 0.9855    | 0.9833 | 0.9844 | 0.9956   |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1